647th 1Mby1M Roundtable for Entrepreneurs Starting NOW: Live Tweeting by @1Mby1M

Today’s 647th FREE online 1Mby1M Roundtable for Entrepreneurs is starting NOW, on Thursday, July 25, at 8 a.m. PDT / 11 a.m. EDT / 5 p.m. CEST / 8:30 p.m. India IST. CLICK HERE to join. PASSWORD: startup  All are welcome!        

Featured Videos

1Mby1M Virtual Accelerator AI Investor Forum: With Ashmeet Sidana, Chief Engineer at Engineering Capital (Part 4)

Sramana Mitra: Power story is a very complex story. As you were talking about your training, I was thinking about my engineering training and one of my favorite courses at MIT was Anant Agarwal’s VLSI design course. That is actually very automatable, right? Now you train AI to do chip design, and AI can design great chips. This is a highly automatable problem.

Ashmeet Sidana: It’s ironic that one of the first applications for AI has been software development. Software is being developed using AI, which is wonderful.

The Startup Velocity Question: Segmentation Drives TAM

I see segmentation errors left, right and center.

As such, I see sloppy TAM models left, right and center too.

Segmentation requires a precise profiling of your ideal customer with a host of parameters each of which can individually slash your TAM down by 10%.

Video FAQs

1Mby1M Virtual Accelerator AI Investor Forum: With Ashmeet Sidana, Chief Engineer at Engineering Capital (Part 3)

Sramana Mitra: So let me double click down on the second one. I will come to the picks and shovels in a moment, but my observation is that to build a vertical application on top of an LLM, you obviously need to train in domain specific data. Now, there is a benefit to kind of constraining that model. You can tell me more technically how much of this is viable and how are people doing it. If you constrain the model to a small language model, the hallucination problem should go away or at least get much more manageable. Is that a correct statement?

The Startup Velocity Question: TAM Drives Fundability

More often than not, an honest Total Available Market (TAM) analysis yields small or medium sized markets. This could range from $50M, $100M, $200M to $500M.

Cloud Stocks: Oracle Cloud Infrastructure Benefits from AI

Oracle (NYSE: ORCL) recently reported its fourth quarter results that missed estimates. But despite the weak results, the market was impressed given the strong Oracle Cloud Infrastructure (OCI) demand that it is seeing coming its way.

1Mby1M Virtual Accelerator AI Investor Forum: With Ashmeet Sidana, Chief Engineer at Engineering Capital (Part 2)

Sramana Mitra: All right, let’s discuss the second example.

Ashmeet Sidana: Sure, another example I’m very proud of is a company called Robust Intelligence. Again, I was the first investor and they did a good job. CEO Yaron Singer, PhD from Berkeley, was at Harvard when he observed the hallucination problems with the development and deployment of AI models.

The Startup Velocity Question: Segmentation Matters

An acute lack of understanding of Ideal Customer Profile (ICP) and an inadequate Market Segmentation result in artificially bloated TAM.

Often, Segmentation is too broad.

Let’s look at an example.